Dr. Ashish Kumar Tripathi (Member, IEEE) received his M.Tech and Ph.D. degrees in Computer Science and Engineering from Delhi Technological University, Delhi, India, in 2013 and 2019 respectively. He is currently working as an Assistant Professor with the Department of Computer Science & Engineering, Malviya National Institute of Technology (MNIT), Jaipur, India. His research interests include big data analytics, social media analytics, soft computing, image analysis, and natural language processing. Dr. Tripathi has published several papers in international journals and conferences including IEEE transactions. He is an active reviewer for several journals of repute.Dr. Apu Kumar Saha is working as a professor in the Department of Mathematics, National Institute of Technology Agartala. He completed his M.Sc. degree in Mathematics from Tripura University with gold medal and completed his PhD from NIT Agartala. He is an active researcher for the past ten plus years. His fields of research are Artificial Intelligence, Soft Computing, Decision Support Systems, Waste Management, etc. He has published over one hundred fifty papers in reputed international journals, several books and book chapters and over seventy international conferences.   Dr Vivek Shrivastava has approx. 20 years of diversified experience of scholarship of teaching and learning, accreditation, research, industrial, and academic leadership in India, China and USA. Presently he is holding the position of professor at National Institute of Technology Uttarakhand, India. Prior to his academic assignments he has worked as System Reliability Engineer at SanDisk Semiconductors Shanghai China and USA. Dr. Shrivastava has significant industrial experience of collaborating with industry and Government organizations at SanDisk Semiconductors he has made significant contribution to the design development of memory products. Dr. Shrivastava has published over 80 journal articles, and presented papers at conferences, and has published several chapters in books.

• A Focus on Hybrid Ensemble Quantum Machine learning: Classifying Chronic Liver Disease.- CareerCraft: AI-Powered Resume Enhancer.- Amalgam Based Intelligent Road Surveillance using Machine Learning Algorithm.- An Advanced Multi-Class Sentiment Classification Framework Combining BERT, RNN Architectures and Attention Mechanism.- Convex Hull based Segmentation and Diagnosis of Lumbar Spondylolisthesis.